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Daniel Mafla Delgado, MD

Daniel Mafla Delgado portrait
Clinical Assistant Professor, Neurology

Professional Background

Daniel Mafla, M.D., is a clinical assistant professor on the clinical track in the Department of Neurology. He completed his medical degree at the School of Medicine at the Pontifical Catholic University of Ecuador, after which he served as a rural physician at Jaramijó Health Care Clinic for the Ministry of Public Health of Ecuador. Prior to joining the Department of Neurology faculty in 2025, Dr. Mafla completed his residency in neurology at the University of Kansas Medical Center, during which he served as the education chief resident. Followed his residency, Dr. Mafla remained at KU Medical Center, completing a fellowship in neuroimmunology and multiple sclerosis. He is certified by the American Board of Psychiatry and Neurology.

Dr. Mafla’s clinical interests include multiple sclerosis diagnosis and treatment, neuroimmunology and the treatment of various neurological disorders.

Education and Training
  • MD, Doctor of Medicine, Faultad de Medicina de la Pontificia Universidad Catolica del Ecuador, Quito, Pichincha
  • Clinical Fellowship, Neuroimmunology and Multiple Sclerosis, University of Kansas Medical Center, Kansas City, KS
  • Residency, Neurology, University of Kansas School of Medicine, Kansas City, KS
Licensure, Accreditations & Certifications
  • Board Certification, American Board of Psychiatry and Neurology
  • Kansas Licensure, Kansas Board of Healing Arts

Research

Overview

Dr. Mafla’s research interests include the diagnosis and treatment of various neurological disorders, particularly multiple sclerosis. He has participated in research projects studying persistent hypogammaglobulinemia in patients with multiple sclerosis after treatment with anti-CD20 therapy, as well as projects analyzing the characteristics and surgical outcomes of patients with epilepsy and encephaloceles. He has presented a case report on neurosarcoidosis and is the co-author of a study evaluating the metric properties of WHODAS 2.0, WHODAS-S and RADS in an assessment of disability in Parkinsonian patients.